Chat with Anthropic (Claude) API on New Subscription Cancelled from Lemon Squeezy API

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New Subscription Cancelled from the Lemon Squeezy API

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Chat with the Anthropic (Claude) API

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Getting Started#

This integration creates a workflow with a Lemon Squeezy trigger and Anthropic (Claude) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Subscription Cancelled trigger
1. Connect your Lemon Squeezy account
2. Configure timer
Configure the Chat action
1. Connect your Anthropic (Claude) account
2. Select a Model
3. Configure User Message
4. Optional- Configure Prior Message History
5. Optional- Configure Temperature
6. Optional- Configure Top K
7. Optional- Configure Top P
8. Configure Maximum Tokens To Sample
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Subscription Cancelled on Lemon Squeezy

Description:Emit new event when a new subscription is cancelled.

Version:0.0.1

Key:lemon_squeezy-subscription-cancelled

View on GitHub

Lemon Squeezy Overview#

The Lemon Squeezy API lets you manage and sell digital products with ease. On Pipedream, you can integrate Lemon Squeezy with your sales, marketing, and support tools to automate tasks like customer follow-ups, license management, and sales reporting. With Pipedream's serverless platform, you can create workflows that trigger on Lemon Squeezy events or schedule tasks, process data, and connect to a vast array of other apps and services without writing backend infrastructure.

Trigger Code#

import { defineSource } from "@pipedream/types";
import moment from "moment";
import common from "../common/base.mjs";
export default defineSource({
    ...common,
    key: "lemon_squeezy-subscription-cancelled",
    name: "New Subscription Cancelled",
    description: "Emit new event when a new subscription is cancelled.",
    version: "0.0.1",
    type: "source",
    dedupe: "unique",
    methods: {
        ...common.methods,
        setLastEnd(lastEnd) {
            this.db.set("lastEnd", lastEnd);
        },
        getLastEnd() {
            return this.db.get("lastEnd") || 0;
        },
        async startEvent(maxResults) {
            const lastEnd = this.getLastEnd();
            const responseArray = [];
            let tempLastEnd = lastEnd;
            const items = this.lemonSqueezy.paginate({
                fn: this.lemonSqueezy.listSubscriptions,
                params: {
                    sort: "-endsAt",
                },
                maxResults,
            });
            for await (const item of items) {
                const newLastEnd = item.attributes.ends_at;
                if (item.attributes.ends_at
                    && moment(newLastEnd).isAfter(lastEnd)
                    && item.attributes.cancelled) {
                    responseArray.push(item);
                    if (moment(newLastEnd).isAfter(tempLastEnd)) {
                        tempLastEnd = newLastEnd;
                    }
                }
                else {
                    break;
                }
            }
            if (!moment(lastEnd).isSame(tempLastEnd))
                this.setLastEnd(tempLastEnd);
            for (const responseItem of responseArray.reverse()) {
                this.$emit(responseItem, {
                    id: responseItem.id,
                    summary: `A new subscription with id ${responseItem.id} was cancelled!`,
                    ts: responseItem.createdAt,
                });
            }
        },
    },
});

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Lemon Squeezy	`lemonSqueezy`	`app`	This component uses the Lemon Squeezy app.
	`timer`	`$.interface.timer`
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.

Trigger Authentication#

Lemon Squeezy uses API keys for authentication. When you connect your Lemon Squeezy account, Pipedream securely stores the keys so you can easily authenticate to Lemon Squeezy APIs in both code and no-code steps.

To connect Pipedream with your Lemon Squeezy account,

Sign in to your Lemon Squeezy account
Create a new API key here
Paste that below

About Lemon Squeezy#

Lemon Squeezy is the all-in-one platform for running your SaaS business. Payments, subscriptions, global tax compliance, fraud prevention, multi-currency support, failed payment recovery, PayPal integration and more. We make running your software business easy peasy.

Action#

Chat on Anthropic (Claude)

Description:The Chat API. [See the documentation](https://docs.anthropic.com/claude/reference/messages_post)

Version:0.0.9

Key:anthropic-chat

View on GitHub

Anthropic (Claude) Overview#

The Anthropic (Claude) API offers a conversational AI that can be leveraged for a variety of applications, ranging from answering questions to generating content or providing customer support. In Pipedream, you can create powerful workflows that utilize the capabilities of Claude to automate responses, analyze text, or enhance data with AI-generated insights. Pipedream's serverless platform simplifies integrating Claude into your processes with other apps and services for seamless automation.

Action Code#

import anthropic from "../../anthropic.app.mjs";
import constants from "../common/constants.mjs";

export default {
  name: "Chat",
  version: "0.0.9",
  key: "anthropic-chat",
  description: "The Chat API. [See the documentation](https://docs.anthropic.com/claude/reference/messages_post)",
  type: "action",
  props: {
    anthropic,
    model: {
      label: "Model",
      description: "Select the model to use for your query. Defaults to the `claude-3-opus-20240229` model, which Anthropic describes as the \"Most powerful model for highly complex tasks\".",
      type: "string",
      options: constants.MESSAGE_MODELS,
      default: constants.MESSAGE_MODELS[0],
    },
    userMessage: {
      label: "User Message",
      type: "string",
      description: "The user messages provide instructions to the assistant",
    },
    messages: {
      label: "Prior Message History",
      type: "string[]",
      description: "All relevant information must be supplied via the conversation. You can provide an array of messages from prior conversations here always beginning with the human message.",
      optional: true,
    },
    temperature: {
      label: "Temperature",
      description: "**Optional**. Amount of randomness injected into the response. Ranges from 0 to 1. Use temp closer to 0 for analytical / multiple choice, and temp closer to 1 for creative and generative tasks.",
      type: "string",
      optional: true,
    },
    topK: {
      label: "Top K",
      description: "Only sample from the top K options for each subsequent token. Used to remove `long tail` low probability responses.",
      type: "integer",
      optional: true,
    },
    topP: {
      label: "Top P",
      description: "Does nucleus sampling, in which we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified.",
      type: "string",
      optional: true,
    },
    maxTokensToSample: {
      label: "Maximum Tokens To Sample",
      description: "A maximum number of tokens to generate before stopping.",
      type: "integer",
    },
  },
  async run({ $ }) {
    const messages = [];

    const priorMessages = typeof this.messages === "string"
      ? JSON.parse(this.messages)
      : this.messages;

    if (priorMessages?.length) {
      let isUserMessage = true;

      for (const message of priorMessages) {
        messages.push({
          role: isUserMessage
            ? "user"
            : "assistant",
          content: message,
        });

        isUserMessage = !isUserMessage;
      }
    }

    messages.push({
      role: "user",
      content: this.userMessage,
    });

    const response = await this.anthropic.createMessage({
      $,
      data: {
        messages,
        model: this.model,
        max_tokens: this.maxTokensToSample,
        temperature: this.temperature
          ? parseFloat(this.temperature)
          : undefined,
        top_p: this.topP
          ? parseFloat(this.topP)
          : undefined,
        top_k: this.topK,
      },
    });

    if (response) {
      $.export("$summary", `Successfully sent message with ID ${response.id}`);
    }

    const originalMessages = messages.map(({ content }) => content);
    return {
      original_messages: originalMessages,
      original_messages_with_assistant_response: originalMessages.concat(response.content[0].text),
      ...response,
    };
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Anthropic (Claude)	`anthropic`	`app`	This component uses the Anthropic (Claude) app.
Model	`model`	`string`	Select a value from the drop down menu:`claude-3-5-sonnet-20241022claude-3-5-sonnet-20240620claude-3-opus-20240229claude-3-sonnet-20240229claude-3-haiku-20240307claude-2.1claude-2.0claude-instant-1.2`
User Message	`userMessage`	`string`	The user messages provide instructions to the assistant
Prior Message History	`messages`	`string[]`	All relevant information must be supplied via the conversation. You can provide an array of messages from prior conversations here always beginning with the human message.
Temperature	`temperature`	`string`	Optional. Amount of randomness injected into the response. Ranges from 0 to 1. Use temp closer to 0 for analytical / multiple choice, and temp closer to 1 for creative and generative tasks.
Top K	`topK`	`integer`	Only sample from the top K options for each subsequent token. Used to remove `long tail` low probability responses.
Top P	`topP`	`string`	Does nucleus sampling, in which we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified.
Maximum Tokens To Sample	`maxTokensToSample`	`integer`	A maximum number of tokens to generate before stopping.